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Journal articles on the topic 'Quantitative Structure-Activity Relationship [MESH]'

Author: Grafiati

Published: 29 July 2024

Last updated: 31 July 2025

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1

Lin, Yu-Liang, Peng-Fei Fang, Xin Wang, Jie Wu, and Guo-Lin Yang. "Experimental and Numerical Study on Tensile Behavior of Double-Twisted Hexagonal Gabion Wire Mesh." Buildings 13, no. 7 (2023): 1657. http://dx.doi.org/10.3390/buildings13071657.

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Double-twisted hexagonal gabion wire mesh is a type of reinforced soil material that is used in gabion retaining walls to stabilize the soil slope in geotechnical engineering. In this study, a series of tensile tests were conducted to investigate the tensile behavior of hexagonal gabion wire mesh. Meanwhile, numerical models of gabion wire mesh were built to investigate the whole tensile loading-strain process. The influence of wire diameter, mesh width, and mesh length on the tensile strength of hexagonal gabion wire mesh were evaluated based on laboratory tests and numerical simulation. The

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2

Ilyushchanka, Aliaksandr, Iryna Charniak, Aliaksei Kusin, Mihail Dechko, Ruslan Kusin, and Natalia Rutkovskaia. "Selection of factors and preparation of an experiment planning matrix for modeling a filter material with an orthotropic structure based on woven meshes." MATEC Web of Conferences 366 (2022): 05001. http://dx.doi.org/10.1051/matecconf/202236605001.

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The advantages of a filtering material with an orthotropic structure (FMTS) consisting of a package of woven meshes are described. Information is given on the first stage of FMTS modeling, which includes the choice of parameters and factors of the experiment and the compilation of a planning matrix to establish the relationship between technological characteristics and properties of FMTS. When constructing a stochastic mathematical model at this stage, two factors were chosen to describe the properties of the material – qualitative (mesh type), specified by the sigma constraint method, and qua

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3

Pereira Gomes, Dione, and Aníbal Danilo Farias. "Systematic review on the relationship between left heart failure and right ventricular dysfunction in the 2000s." SCT Proceedings in Interdisciplinary Insights and Innovations 1 (November 10, 2023): 143. http://dx.doi.org/10.56294/piii2023143.

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Background: Heart failure is a clinical syndrome characterized by symptoms such as dyspnea and fluid retention in the context of structural abnormalities of the heart. For many years, the importance of the right heart was ignored or forgotten, however, it has been revealed that the right ventricle is a key part in the prognosis of left heart failure. The right ventricle modulates the structure and function of the left ventricle. Interest arises in carrying out a bibliographic review on right heart failure as a cause of left heart failure. Material and methods: The study design was a systematic

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4

Liu, Jin Tao, Wei Shen, Qun Bo Fan, and H. N. Cai. "Modeling the Cracking Process of the YSZ Thermal Barrier Coating under the Thermal Shocking Loads." Key Engineering Materials 512-515 (June 2012): 463–68. http://dx.doi.org/10.4028/www.scientific.net/kem.512-515.463.

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For low thermal conductivity and high corrosion resistance, yttria stabilized zirconia (YSZ), as a top coat (TC), is widely used in thermal barrier coatings (TBCs), and the micro-structure of the TC has significant effects on it thermal shock resistance. Combining digital image processing technique with finite element mesh generation methods, finite element (EF) models based on actual microstructures of plasma sprayed YSZ thermal barrier coatings are built in this paper, so as to simulate the coating’s dynamic failure process when suffering thermal shocking loads. The cracking process is revea

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5

Huang, Shunjie, Xiangqian Wang, Yingming Li, et al. "Analysis on Evolution Law of Small Structure Stress Arch and Composite Bearing Arch in Island Gob-Side Entry Driving." Geofluids 2022 (June 23, 2022): 1–12. http://dx.doi.org/10.1155/2022/4303681.

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At present, the theory of supporting the surrounding rock small structure of gob-side entry driving has been widely used, but there is no specific quantitative analytical formula for the bearing strength and bearing characteristics of the structure. Construct a small structural stress arch mechanical model based on the arch axis equation, and divide the width of coal pillars (fractured zone-plastic softening zone-plastic hardening zone) and small structural stress arch height. According to the relationship between the stress arch height and the size of the roadway, the anchor cable length is d

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6

Golubenko, Daniil, Farah Ejaz Ahmed, and Nidal Hilal. "Novel Crosslinked Anion Exchange Membranes Based on Thermally Cured Epoxy Resin: Synthesis, Structure and Mechanical and Ion Transport Properties." Membranes 14, no. 6 (2024): 138. http://dx.doi.org/10.3390/membranes14060138.

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Limitations in existing anion exchange membranes deter their use in the efficient treatment of industrial wastewater effluent. This work presents an approach to fabricating novel anion-conducting membranes using epoxy resin monomers like hydrophobic or hydrophilic diglycidyl ether and quaternized polyethyleneimine (PEI). Manipulating the diglycidyl ether nature, the quantitative composition of the copolymer and the conditions of quaternization allows control of the physicochemical properties of the membranes, including water uptake (20.0–330%), ion exchange capacity (1.5–3.7 mmol/g), ionic con

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7

Matsuda, Atsushi, and Mohammad R. K. Mofrad. "Role of pore dilation in molecular transport through the nuclear pore complex: Insights from polymer scaling theory." PLOS Computational Biology 21, no. 4 (2025): e1012909. https://doi.org/10.1371/journal.pcbi.1012909.

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The nuclear pore complex (NPC), a channel within the nuclear envelope filled with intrinsically disordered proteins, regulates the transport of macromolecules between the nucleus and the cytoplasm. Recent studies have highlighted the NPC’s ability to adjust its diameter in response to the membrane tension, underscoring the importance of exploring how variations in pore size influence molecular transport through the NPC. In this study, we investigated the relationship between pore size and transport rate and proposed a mathematical model describing this connection. We began by theoretically ana

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8

NAKAGAWA, Yoshiaki. "Quantitative Structure-Activity Relationship." Japanese Journal of Pesticide Science 38, no. 1 (2013): 1. http://dx.doi.org/10.1584/jpestics.w12-39.

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9

Seregin, S. A. "Some peculiarities in vertical distribution of metazoan microzooplankton in the Black Sea in spring." Marine Biological Journal 5, no. 4 (2020): 94–107. http://dx.doi.org/10.21072/mbj.2020.05.4.08.

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Based on material, received in the 84th and 93rd cruises of the RV “Professor Vodyanitsky”, vertical distribution of microplankton fraction of metazooplankton (MM) in the Black Sea in spring was analyzed. A total of 27 stations were examined both in the coastal zone and in the deep sea. The 10-L bottles of the CTD probes “Mark-III Neil Brown” and “Sea Bird 911” were used to collect 4–6 L of water from 4–11 horizons of the water column. The samples obtained were concentrated by the reverse filtration through the plankton net with the mesh size of 10 µm. Quantitative and systematic analysis of a

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10

FUJITA, Toshio. "Quantitative structure-activity relationship and drug design." Journal of the agricultural chemical society of Japan 64, no. 1 (1990): 1–11. http://dx.doi.org/10.1271/nogeikagaku1924.64.1.

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11

Düren, Reiner, and Horst A. Diehl. "Quantitative structure-activity relationship of coumarin derivatives." Journal of Chromatography A 445 (January 1988): 49–58. http://dx.doi.org/10.1016/s0021-9673(01)84507-6.

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12

De Benedetti, P. G. "Electrostatics in quantitative structure-activity relationship analysis." Journal of Molecular Structure: THEOCHEM 256 (April 1992): 231–48. http://dx.doi.org/10.1016/0166-1280(92)87169-z.

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13

Montorsi, Monia, M. Cristina Menziani, Marina Cocchi, Francesca Fanelli та Pier G. De Benedetti. "Computer Modeling of Size and Shape Descriptors of α1-Adrenergic Receptor Antagonists and Quantitative Structure–Affinity/Selectivity Relationships". Methods 14, № 3 (1998): 239–54. http://dx.doi.org/10.1006/meth.1998.0581.

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14

Bellera, Carolina L., and Alan Talevi. "Quantitative structure–activity relationship models for compounds with anticonvulsant activity." Expert Opinion on Drug Discovery 14, no. 7 (2019): 653–65. http://dx.doi.org/10.1080/17460441.2019.1613368.

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15

Chang, Hyun-Joo, Hyun Jung Kim, and Hyang Sook Chun. "Quantitative structure−activity relationship (QSAR) for neuroprotective activity of terpenoids." Life Sciences 80, no. 9 (2007): 835–41. http://dx.doi.org/10.1016/j.lfs.2006.11.009.

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16

Wang, Hui, Thi Thanh Hien Nguyen, Shujun Li, Tao Liang, Yuanyuan Zhang, and Jian Li. "Quantitative structure–activity relationship of antifungal activity of rosin derivatives." Bioorganic & Medicinal Chemistry Letters 25, no. 2 (2015): 347–54. http://dx.doi.org/10.1016/j.bmcl.2014.11.034.

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17

Scotti, Marcus T., Mariane B. Fernandes, Marcelo J. P. Ferreira, and Vicente P. Emerenciano. "Quantitative structure–activity relationship of sesquiterpene lactones with cytotoxic activity." Bioorganic & Medicinal Chemistry 15, no. 8 (2007): 2927–34. http://dx.doi.org/10.1016/j.bmc.2007.02.005.

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18

Gupta, Satya. "Quantitative Structure-Activity Relationship Studies on Cholecystokinin Antagonists." Current Pharmaceutical Design 8, no. 2 (2002): 111–24. http://dx.doi.org/10.2174/1381612023396500.

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19

Gupta, Satya, and Anantha Nagappa. "Quantitative Structure-Activity Relationship Studies on Cholecystokin Antagonists." Medicinal Chemistry Reviews - Online 1, no. 3 (2004): 349–50. http://dx.doi.org/10.2174/1567203043401680.

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20

Kim, Hyun-Ock, and Eunice C. Y. Li-Chan. "Quantitative Structure−Activity Relationship Study of Bitter Peptides." Journal of Agricultural and Food Chemistry 54, no. 26 (2006): 10102–11. http://dx.doi.org/10.1021/jf062422j.

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21

Wang, Zongde, Jie Song, Zhaojiu Han, et al. "Quantitative Structure−Activity Relationship of Terpenoid Aphid Antifeedants." Journal of Agricultural and Food Chemistry 56, no. 23 (2008): 11361–66. http://dx.doi.org/10.1021/jf802324v.

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22

Lien, Eric J., Shijun Ren, Huynh-Hoa Bui, and Rubin Wang. "Quantitative structure-activity relationship analysis of phenolic antioxidants." Free Radical Biology and Medicine 26, no. 3-4 (1999): 285–94. http://dx.doi.org/10.1016/s0891-5849(98)00190-7.

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23

Ungwitayatorn, J., M. Pickert, and A. W. Frahm. "Quantitative structure-activity relationship (QSAR) study of polyhydroxyxanthones." Pharmaceutica Acta Helvetiae 72, no. 1 (1997): 23–29. http://dx.doi.org/10.1016/s0031-6865(96)00043-x.

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24

Burden, Frank R. "Quantitative Structure−Activity Relationship Studies Using Gaussian Processes." Journal of Chemical Information and Computer Sciences 41, no. 3 (2001): 830–35. http://dx.doi.org/10.1021/ci000459c.

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25

Gupta, S. P. "Quantitative Structure-Activity Relationship Studies on Anticancer Drugs." Chemical Reviews 94, no. 6 (1994): 1507–51. http://dx.doi.org/10.1021/cr00030a003.

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26

Minovski, Nikola, Marjan Vračko, and Tom Šolmajer. "Quantitative structure–activity relationship study of antitubercular fluoroquinolones." Molecular Diversity 15, no. 2 (2010): 417–26. http://dx.doi.org/10.1007/s11030-010-9238-5.

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27

Qi, Shaoying, K. James Hay, Mark J. Rood, and Mark P. Cal. "Carbon Fiber Adsorption Using Quantitative Structure-Activity Relationship." Journal of Environmental Engineering 126, no. 9 (2000): 865–68. http://dx.doi.org/10.1061/(asce)0733-9372(2000)126:9(865).

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28

Aizpuru, A., L. Malhautier, and J. L. Fanlo. "Quantitative Structure-Activity Relationship Modeling of Biofiltration Removal." Journal of Environmental Engineering 128, no. 10 (2002): 953–59. http://dx.doi.org/10.1061/(asce)0733-9372(2002)128:10(953).

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29

Klopman, Gilles, and Ju-Yun Li. "Quantitative structure-agonist activity relationship of capsaicin analogues." Journal of Computer-Aided Molecular Design 9, no. 3 (1995): 283–94. http://dx.doi.org/10.1007/bf00124458.

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30

Santos, Cleydson Breno Rodrigues dos, Cleison Carvalho Lobato, Marcos Alexandre Costa de Sousa, Williams Jorge da Cruz Macêdo, and José Carlos Tavares Carvalho. "Molecular Modeling: Origin, Fundamental Concepts and Applications Using Structure-Activity Relationship and Quantitative Structure-Activity Relationship." Reviews in Theoretical Science 2, no. 2 (2014): 91–115. http://dx.doi.org/10.1166/rits.2014.1016.

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31

Kamenska, Verginia, Lyubomir Dourmishev, Assen Dourmishev, Rusi Vasilev, and Ovanes Mekenyan. "Quantitative Structure-Activity Relationship Modeling of Dermatomyositis Activity of Drug Chemicals." Arzneimittelforschung 56, no. 12 (2011): 856–65. http://dx.doi.org/10.1055/s-0031-1296798.

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32

Muranaka, Ken. "Anticancer Activity of Estradiol Derivatives: A Quantitative Structure-Activity Relationship Approach." Journal of Chemical Education 78, no. 10 (2001): 1390. http://dx.doi.org/10.1021/ed078p1390.

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33

Rajwade, R. P. "Quantitative structure–activity relationship (QSAR) studies on antitumor activity: glutamine analogues." New Biotechnology 27 (April 2010): S22—S23. http://dx.doi.org/10.1016/j.nbt.2010.01.015.

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34

Li, Zhiming, Kaiying Nie, Zhaojing Wang, and Dianhui Luo. "Quantitative Structure Activity Relationship Models for the Antioxidant Activity of Polysaccharides." PLOS ONE 11, no. 9 (2016): e0163536. http://dx.doi.org/10.1371/journal.pone.0163536.

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35

Zhou, Xiao-Fei, Qingxiang Shao, Robert A. Coburn, and Marilyn E. Morris. "Quantitative Structure–Activity Relationship and Quantitative Structure–Pharmacokinetics Relationship of 1,4-Dihydropyridines and Pyridines as Multidrug Resistance Modulators." Pharmaceutical Research 22, no. 12 (2005): 1989–96. http://dx.doi.org/10.1007/s11095-005-8112-0.

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36

Kothiwale, Sandeepkumar, Corina Borza, Ambra Pozzi, and Jens Meiler. "Quantitative Structure–Activity Relationship Modeling of Kinase Selectivity Profiles." Molecules 22, no. 9 (2017): 1576. http://dx.doi.org/10.3390/molecules22091576.

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37

Jun-Jie, Ding, Ding Xiao-Qin, Zhao Li-Feng, and Chen Ji-Sheng. "Three Dimensional Quantitative Structure-activity Relationship of Dihydropyridine Derivatives." Acta Physico-Chimica Sinica 19, no. 12 (2003): 1108–13. http://dx.doi.org/10.3866/pku.whxb20031203.

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38

OKAZAKI, KIYO, YUKI MANABE, TAKUYA MAEDA, HIDEAKI NAGAMUNE, and HIROKI KOURAI. "Quantitative Structure-Activity Relationship of Antibacterial Dodecylpyridinium Iodide Derivatives." Biocontrol Science 1, no. 1 (1996): 51–59. http://dx.doi.org/10.4265/bio.1.51.

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39

Xie, Aihua, Chenzhong Liao, Zhibin Li, et al. "Quantitative Structure-Activity Relationship Study of Histone Deacetylase Inhibitors." Current Medicinal Chemistry-Anti-Cancer Agents 4, no. 3 (2004): 273–99. http://dx.doi.org/10.2174/1568011043352948.

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40

Milojković-Opsenica, Dušanka, Filip Andrić, Sandra Šegan, Jelena Trifković, and Živoslav Tešić. "Thin-layer chromatography in quantitative structure-activity relationship studies." Journal of Liquid Chromatography & Related Technologies 41, no. 6 (2018): 272–81. http://dx.doi.org/10.1080/10826076.2018.1447892.

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41

Roy, Kunal, and Probir Kumar Ojha. "Advances in quantitative structure–activity relationship models of antimalarials." Expert Opinion on Drug Discovery 5, no. 8 (2010): 751–78. http://dx.doi.org/10.1517/17460441.2010.497812.

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42

Wang, P., X. Xu, S. Liao, et al. "Quantitative structure–activity relationship study of amide mosquito repellents." SAR and QSAR in Environmental Research 28, no. 4 (2017): 341–53. http://dx.doi.org/10.1080/1062936x.2017.1320585.

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43

ZHAO, Jinsong. "3D-quantitative structure-activity relationship study of organophosphate compounds." Chinese Science Bulletin 49, no. 3 (2004): 240. http://dx.doi.org/10.1360/03wb0156.

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44

Kulkarni, Seema A., and Thirumurthy Madhavan. "Hologram Quantitative Structure Activity Relationship Analysis of JNK Antagonists." Journal of the Chosun Natural Science 8, no. 2 (2015): 81–88. http://dx.doi.org/10.13160/ricns.2015.8.2.81.

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45

Fourches, Denis, and Jeremy Ash. "4D- quantitative structure–activity relationship modeling: making a comeback." Expert Opinion on Drug Discovery 14, no. 12 (2019): 1227–35. http://dx.doi.org/10.1080/17460441.2019.1664467.

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46

Klopman, Gilles, Leming M. Shi, and Avner Ramu. "Quantitative Structure-Activity Relationship of Multidrug Resistance Reversal Agents." Molecular Pharmacology 52, no. 2 (1997): 323–34. http://dx.doi.org/10.1124/mol.52.2.323.

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47

Gupta, S. P. "QSAR (quantitative structure-activity relationship) studies on local anesthetics." Chemical Reviews 91, no. 6 (1991): 1109–19. http://dx.doi.org/10.1021/cr00006a001.

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48

Udenigwe, Chibuike C., Huan Li, and Rotimi E. Aluko. "Quantitative structure–activity relationship modeling of renin-inhibiting dipeptides." Amino Acids 42, no. 4 (2011): 1379–86. http://dx.doi.org/10.1007/s00726-011-0833-2.

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49

Misra, Milind, Qing Shi, Xiaocong Ye, et al. "Quantitative structure–activity relationship studies of threo-methylphenidate analogs." Bioorganic & Medicinal Chemistry 18, no. 20 (2010): 7221–38. http://dx.doi.org/10.1016/j.bmc.2010.08.034.

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50

Zhao, Jinsong, Bin Wang, Zhaoxia Dai, Xiaodong Wang, Lingren Kong, and Liansheng Wang. "3D-quantitative structure-activity relationship study of organophosphate compounds." Chinese Science Bulletin 49, no. 3 (2004): 240–45. http://dx.doi.org/10.1007/bf03182805.

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